Senior Data Scientist

6 hours ago

Karachi, Sindh, Pakistan traxccel Full time 1,200,000 - 3,600,000 per year

At
Traxccel
, we're transforming the way organizations harness data to drive strategy, optimize operations, and deliver impact. Our advanced analytics and AI-driven platforms empower businesses across industries with cutting-edge insights—and we're looking for a
Senior Data Scientist
to help us take our data innovation to the next level.

Key Responsibilities

  • Design, build, and deploy machine learning models and AI-driven systems across a variety of domains including NLP, recommendation engines, and generative AI.
  • Lead the use of Databricks Mosaic AI for scalable model training, experimentation, and lifecycle governance.
  • Leverage Azure AI services (e.g., Azure OpenAI, Cognitive Services) to operationalize and integrate intelligent capabilities into production applications.
  • Utilize Azure Foundry and other cloud-native frameworks to architect robust, high-scale AI solutions.
  • Translate business challenges into data science problems and deliver measurable results through applied machine learning.
  • Implement and maintain enterprise-grade ML workflows with a focus on security, scalability, and performance.
  • Apply a range of advanced techniques, including LLMs, prompt engineering, fine-tuning, and traditional ML methods.
  • Collaborate with engineering, analytics, and product teams to deliver end-to-end AI solutions.
  • Mentor junior data scientists and foster a culture of innovation, experimentation, and ethical AI use.

Required Qualifications

  • 7+ years
    of hands-on experience in data science and ML model deployment in production environments.
  • Deep expertise with Databricks Mosaic AI, including distributed training, MLOps, and governance.
  • Strong experience with the Microsoft Azure ecosystem—especially Azure AI, Azure ML, Azure Foundry, and Azure Synapse.
  • In-depth understanding of machine learning, LLMs, NLP, and related evaluation and integration techniques.
  • Proficient in Python and libraries such as scikit-learn, PyTorch/TensorFlow, Hugging Face Transformers.
  • Experience designing reproducible ML pipelines and ensuring model performance and observability.
  • Familiar with MLflow, Git, Azure DevOps, and other tools used for collaboration, versioning, and model tracking.

Preferred Qualifications

  • Demonstrated experience building scalable, cloud-native AI systems in a production setting.
  • Knowledge of responsible AI practices, including fairness, transparency, bias mitigation, and compliance.
  • Familiarity with vector databases and tools for LLM evaluation and monitoring.

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